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中文摘要
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描述(由申请人提供):相关性:虽然绞痛,在其他方面良好的婴儿过度哭泣,影响约10%的新生儿,哭泣,父母在生命的第一年最常见的投诉影响高达40%的家庭。问题是,目前诊断绞痛的方法和绞痛研究的结果是基于主观数据或父母通过书面哭泣日记对过度哭泣的感知。最近的研究表明,父母对婴儿哭泣的感知可能会受到父母个人特征的影响。研究还表明,被诊断患有绞痛的婴儿可能有其他特征,如独特的哭泣特征,这可能有助于人们认为哭泣过度。目前,还没有常用的婴儿哭声的客观测量方法。为了更好地了解正常哭泣和绞痛之间的区别,需要对婴儿哭泣进行客观测量。目的:这个项目是一个多阶段项目的第二部分,该项目将开发和测试婴儿发声的分析程序,以区分正常的哭声和绞痛性哭声。该项目的第一阶段测试了用小型、便携式和商业上可获得的数字记录系统在家中24小时内获得正常婴儿发声的可行性。此外,我们确定记录系统是父母可以接受的,不会干扰母亲或婴儿的日常活动或母婴互动。从这项研究中获得的数据将有助于提交一个更大的NIH应用程序,该应用程序将测试我们对婴儿发声的自动化分析方法,并区分感知到的过度哭泣和绞痛。研究方法:在这项研究的下一阶段,我们建议使用在家中收集的声音数据(20个父母-婴儿配对)来发展和测试一个模型,该模型专注于对正常或绞痛的哭泣进行自动分析。这项试点研究的目的是验证我们的声音数据分析的计算机化方法的准确性,该方法将识别与婴儿哭泣相关的婴儿发声的特征,并产生自动哭泣日记(即,一个可读的数据打印出来的哭的特点)
英文摘要
DESCRIPTION (provided by applicant): Relevance: While colic, excessive crying in an otherwise well infant, affects approximately 10% of newborns, crying, the most common complaint of parents in the first year of life affects up to 40% of families. The problem is that the current approach to the diagnosis of colic and the outcomes of colic research are based on subjective data or parental perception of excessive crying via a written cry diary. Recent research suggests that parent perception of infant crying might be influenced by personal characteristics of the parent. Research also suggests that infants diagnosed with colic may have additional features such as unique cry characteristics which may contribute to perceptions that the cry is excessive. At present, there is no commonly used objective measure of infant crying. To better understand the differentiation between normal crying and colic, an objective measure of infant crying is needed. Purpose: This project is the second part of a multi-phased project that will develop and test a procedure for the analysis of infant vocalization to differentiate a normal cry and a colic cry. The first phase of the project tested the feasibility of acquiring infantile vocalization in normal infants in the home over a 24-hour period with a small, portable and commercially available digital recording system. In addition we determined that the recording system was acceptable to parents, did not interfere with daily activities of the mother or the infant or with mother-infant interactions. Data obtained from this study will be instrumental in the submission of a larger NIH application that will test our automated methods of analysis of infantile vocalization and differentiate perceived excessive crying from colic. Methods: In the next phase of this research we propose to use sound data collected in the home (20 parent- infant dyads) to evolve and test a model focused on automated analysis of crying as normal or colic. The aim of this pilot study is to validate the accuracy of our computerized method of sound data analysis that will identify characteristics of infant vocalizations that are associated with infant crying and produce an automated cry diary (i.e., a readable data print out of cry characteristics)
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